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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
深度学习入门教程, 优秀文章, Deep Learning Tutorial
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
TensorFlow Tutorials with YouTube Videos
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Code for Tensorflow Machine Learning Cookbook
The Udacity open source self-driving car project
A collection of infrastructure and tools for research in neural network interpretability.
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
The deeplearning algorithms implemented by tensorflow
pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)
Demo of running NNs across different frameworks
[CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
Open-source implementation of Google Vizier for hyper parameters tuning
A deep Q learning demonstration using Google Tensorflow
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。
We extend Segment Anything to 3D perception by combining it with VoxelNeXt.
Multi-View 3D Object Detection Network for Autonomous Driving